A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications
[article]
2019
arXiv
pre-print
Preserved Fulltext
Accordingly, we leverage a probabilistic framework based on Monte Carlo tree search to compute sequences of feasible actions imitating the teacher intention in new settings without requiring the teacher ...
Learning from demonstrations is a promising paradigm for transferring knowledge to robots. ...
We use the adapted demonstrated trajectories to learn models for a combined motion of the robot's base and end-effector described by their pose, velocity, and acceleration. ...
arXiv:1908.10184v1
fatcat:2zknf2k2fjdnbflnqvzznrrbm4
Infants show stability of goal-directed imitation
2013
Journal of Experimental Child Psychology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We reasoned that if selective imitation of goal-directed actions reflects understanding of intentions, infants should demonstrate stability across perceptually and causally dissimilar imitation tasks. ...
Infants who selectively imitated goal-directed actions in an object-cued task at 13 months also selectively imitated goal-directed actions in a vocal-cued task at 14 months. ...
We thank Barbara Carotti for her help with coding of the data and Sylwia Matuszewska for her help during the monthly participant meetings. ...
doi:10.1016/j.jecp.2012.09.005
pmid:23073368
fatcat:abq436i4lbe33llbqochrhvgoe
Top-down and bottom-up processes during observation: Implications for motor learning
2012
European Journal of Sport Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this review, we describe 6 the multi-functional properties of the AON, and discuss the implications for observational 7 practice and subsequent motor learning. 8 9 ...
Based 2 on this suggestion, it is reasonable to predict that observing biological motion may 3 facilitate the learning of novel motor skills. ...
This led to 21 the 'gating hypothesis', which predicts observed stimuli believed to be biological gains imitation, it is reasonable to predict top-down processes may impact motor learning by 10 observing ...
doi:10.1080/17461391.2012.686063
pmid:24444215
fatcat:ctfcg7m7cre3tgjy4ugrd5tkwe
From motion capture to action capture
2006
Proceedings of the ACM symposium on Virtual reality software and technology - VRST '06
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The idea of action capture is inspired by human imitation learning; related methods have been investigated for a longer time in robotics. ...
As an advantage, the learned actions can often be naturally applied to varying situations, thus avoiding retargetting problems of motion capture. ...
As in motion capture, the goal of her imitation learning approach consists of the humanoid agents repeating the movements of the human trainer. ...
doi:10.1145/1180495.1180526
dblp:conf/vrst/JungAHW06
fatcat:y2dgpq4kkbgmnajve3sn7jbfdy
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
In this paper, we propose a new platform and pipeline DexMV (Dexterous Manipulation from Videos) for imitation learning. ...
We then apply and compare multiple imitation learning algorithms with the demonstrations. ...
Imitation Learning from Human Demonstrations. Imitation learning is a promising paradigm for robot learning. ...
arXiv:2108.05877v4
fatcat:ipgztyqbargrhpu6svi2yvapdy
Learning from Humans
[chapter]
2016
Springer Handbook of Robotics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The field is best known as robot programming by demonstration, robot learning from/by demonstration, apprenticeship learning and imitation learning. ...
We then summarize the various approaches taken to solve four main questions: when, what, who and when to imitate. ...
Based on the subsymbolic goal and constraint descriptions, the robot can reason to adapt the strategy to changes in object location, obstacle occurrence, and varying start configurations. ...
doi:10.1007/978-3-319-32552-1_74
fatcat:wtcftkgkwveexpfbmnkcebi5wu
Learning nonparametric policies by imitation
2008
2008 IEEE/RSJ International Conference on Intelligent Robots and Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. ...
Such an ability to learn by imitation has remained hard to achieve due to a number of factors, including the problem of learning in high-dimensional spaces and the problem of uncertainty. ...
The motion was learned via imitating by observing a human demonstrator perform the desired motion. Using an inference-based motion planning algorithm a stable imitative motion is obtained. ...
doi:10.1109/iros.2008.4650778
dblp:conf/iros/GrimesR08
fatcat:2kplfe3dkvf4je6ldjmnczmqxi
Towards a Real-Time Bayesian Imitation System for a Humanoid Robot
2007
Engineering of Complex Computer Systems (ICECCS), Proceedings of the IEEE International Conference on
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Imitation learning, or programming by demonstration (PbD), holds the promise of allowing robots to acquire skills from humans with domain-specific knowledge, who nonetheless are inexperienced at programming ...
We have prototyped a real-time, closed-loop system for teaching a humanoid robot to interact with objects in its environment. ...
We thank David Grimes, Keith Grochow, and Danny Rashid for their helpful advice and assistance with the motion capture and collision detection components. ...
doi:10.1109/robot.2007.363903
dblp:conf/icra/ShonSR07
fatcat:z5u7djtbmzaobph3tm4fvdyxye
Preface
2017
International Journal of Social Robotics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The authors present a robust regression-based refining algorithm, which provides highperformance motion perception for online imitation of the humanoid robot. ...
The sixth paper "Robust Regression-Based Motion Perception for Online Imitation on Humanoid Robot" (by Tehao Zhu, Qunfei Zhao, Weibing Wan and Zeyang Xia) focuses on the elimination of the outliers and ...
doi:10.1007/s12369-017-0438-3
fatcat:we4drzcx5ben5pqnlzdhegfarq
Review of the techniques used in motor‐cognitive human‐robot skill transfer
2021
Cognitive Computation and Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Based on the idea of establishing a generic or specialised robot skill library, robots are expected to autonomously reason about the needs for using skills and plan compound movements according to sensory ...
Skill transfer methods that are commonly used at present, such as learning from demonstrated (LfD) or imitation learning, endow the robot with the expert's lowlevel motor and high-level decision-making ...
Imitation and emulation as two common imitative behaviours are the motion/action copier and goal/final effect copier, respectively. ...
doi:10.1049/ccs2.12025
fatcat:yqw4nekt45fx5kp3cgwrtax2fy
A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Character Control
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 accepted arXiv:2105.10066v3 fatcat:jz3yie3ygjefrjglm2s2sjhdwqOther Versions
The classifiers are trained to discriminate the reference motion from the motion generated by the imitation policy, while the policy is rewarded for fooling the discriminators. ...
Our work builds upon generative adversarial networks (GAN) and reinforcement learning, and introduces an imitation learning framework where an ensemble of classifiers and an imitation policy are trained ...
DeepMimic [Peng et al. 2018 ] enables a physics-based character to exhibit various motion skills learned from artistauthored animation and motion capture data by combining imitation learning with goal-conditioned ...
arXiv:2105.10066v1
fatcat:5meb546ob5ga3ljm4ieptf3aae
Atypical biological motion kinematics are represented by complementary lower-level and top-down processes during imitation learning
2016
Acta Psychologica
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Top-down factors have the potential to influence this process based on the social context, attention and salience, and the goal of the movement. ...
imitation of biological motion protocol. ...
We concur with this reasoning and suggest the finding of temporal correspondence between the model and imitation of atypical biological motion was in part based on the online visual 14 processing of such ...
doi:10.1016/j.actpsy.2015.10.005
pmid:26587962
fatcat:lj6jiqot6ndntfji3dldwebvem
Robot Programming by Demonstration
[chapter]
2008
Springer Handbook of Robotics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
First and foremost, PbD, also referred to as imitation learning, is a powerful mechanism for reducing the complexity of search spaces for learning. ...
Imitation learning is, thus, a powerful tool for enhancing and accelerating learning in both animals and artifacts. ...
doi:10.1007/978-3-540-30301-5_60
fatcat:abqi5btx6bhl7gbp5doqvs4icq
Vision-Based Imitation Learning in Heterogeneous Multi-Robot Systems: Varying Physiology and Skill
2012
International Journal of Automation and Smart Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Imitation learning enables a learner to improve its abilities by observing others. ...
Most robotic imitation learning systems only learn from demonstrators that are similar physically and in terms of skill level. ...
Any learning robot must begin with a set of simple motion primitives from which it can base more sophisticated behaviors. ...
doi:10.5875/ausmt.v2i2.111
fatcat:bjiehyih7rgwbnbckg47wcrski
Simitate: A Hybrid Imitation Learning Benchmark
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We present Simitate --- a hybrid benchmarking suite targeting the evaluation of approaches for imitation learning. ...
A benchmarking suite that aims at fostering comparability and reproducibility supports the development of imitation learning approaches. ...
Lisboa, Portugal for enabling us to use the certified testbed and supporting us in the use of the motion capturing system. ...
arXiv:1905.06002v1
fatcat:iryzx2jdiff23dgxbyqfm3sem4
« Previous
Showing results 1 — 15 out of 31,602 results